Surdex Corporation Unpublished Material Unknown Lidar Digital Terrain Model (DTM) ArcGRID, Bureau County, Illinois. 2015. vector data This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2015. The LiDAR derived DTM covers Bureau County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 5.91 centimeters RMSEz, horizontal accuracy of 0.6 meters and point spacing of 0.70 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies. These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. LiDAR Leica ALS70-HP 1.0 4 0.67 2.20 0.67 2.20 1950 150 40 53.4 260 10 3 1064 1 0.22 1535 20 NAD_1983_2011_Stateplane_Illinois_West_FIPS_1202_Ft_US National Geodetic Survey (NGS) Geoid12A. The GEOID12A model is intended to transform between NAD 83 (2011/PA11/MA11) and the respective vertical datums for the different regions, including NAVD88, GUVD04, ASVD02, NMVD03, PRVD02 and VIVD09. 0.328 feet RMSEz 0.194 feet RMSEz, 0.380 feet ACCz 95% CL bare earth, short grass 43 0.170 feet RMSEz, 0.334 feet ACCz 95% CL bare earth, short grass 43 0.587 feet 95th Percentile, Tall Grass, Trees/Forested, Brush 62 1.2 17 11 11 1 1 Unclassified 2 Ground 3 Low vegetation 4 Medium vegetation 5 High vegetation 6 All structures except bridges 7 All noise 8 Keypoint 9 Water 10 Proximity to hydro breakline 14 bridge decks 17 Overlap unclassified 18 Overlap ground 19 Overlap Low vegetation 20 Overlap Medium vegetation 21 Overlap High vegetation 22 Overlap All structures except bridges 23 Overlap All noise 24 Overlap Keypoint 25 Overlap Water 26 Overlap proximity to hydro breakline 20151204 20151205 20151206 20151208 20151209 ground condition Complete Unknown -89.87103788 -89.15235185 41.14335906 41.59200487 2378000.00 2574051.00 1632000.00 1794000.00 LiDAR Digital Elevation Data State Illinois County Bureau unknown unknown Illinois State Geological Survey Sheena K Beaverson Program Manager, Illinois Height Modernization mailing address
Prairie Research Institute, Univ of IL Urbana-Champaign
615 East Peabody Drive
Champaign IL 61820 (217) 244-9306 sbeavers@illinois.edu Illinois Height Modernization Program, Illinois State Geological Survey, Illinois Department of Transportation and Surdex Corp. none Unclassified none Microsoft Windows 7.0 Service Pack 1; ESRI ArcCatalog 9.3.0.1770 ILHMP 20160415 Unknown Illinois LiDAR raster digital data All files are inspected to ensure that they conform to the specified file naming conventions. 0 See Surdex LiDAR Accuracy Report All files load in their correct geographic position and conform to the USGS LiDAR Base Specifications V1.0. All files are inspected to ensure that they conform to the specified file naming conventions, all files load in their correct geographic position, all files conform to the project specifications for file standard and content 2 ft RMSE The LAS Data must meet a Non-Vegetated Vertical Accuracy (NVA) equal to or less than 0.328 feet (10cm ) RMSEz and Vegetated Vertical Accuracy (VVA) equal to or less than 29.4cm at the 95th percentile. These vertical accuracies were tested using 105 independent survey check points in the following feature types: bare earth (21), Short Grass (22), Tall Grass (22), Trees/Forrested (20) and Brush (20). 0.194 feet RMSEz, 0.380 feet ACCz 95% CL bare earth, short grass USGS Quality Level 2 or better Acquisition was completed in early December 2015 using a twin engine Cessna 335 equipped with a Leica ALS70HP. Flight plan parameters were based on 6397 feet AGL, 40 deg FOV, 260,400 pulse rate, 20% sidelap, 0.67 meter NPS. Crews based out of IL Valley Regional and Kewanee Airports. All flights have calibration lines flown at beginning and end of flight perpendicular to lines captured during that mission. Base stations were continuously running during missions and placed so flight baseline never exceeds 25 miles. GPS-IMU captured during flight was processed using Waypoint's Inertial Explorer software. The bare-earth Lidar data was processed to USGS (NGP) Base Lidar Specifications V1.0 using the Terrasolid software suite. LiDAR point was initally processed with macros to locate bare earth ground, buildings and three classes of vegetation but was manually reviewed by experienced technicians in TerraScan or LP360 software for proper point classifciations in LAS tile format. Derivative product formats such as *.DAT, *.DGN, ESRI raster grid and TIN formats were produced using ESRI, Microstation and other software formats. Hydro features were collected on streams and rivers 100~ feet or wider and on lakes 2~ acres or larger. These lines were hydro flattened into the Lidar data and delivered in ESRI geodatabase file format. Unknown Surdex Corporation Wade Williams, CP Project Manager mailing and physical address
520 Spirit of St. Louis Blvd
Chesterfield Missouri 63005 636-368-4458 (636) 368-4459 wadew@surdex.com Raster coordinate pair 1 1 feet NAD_1983_2011_Stateplane_Illinois_West_FIPS_1202_Ft_US Geodetic Reference System 80 6378137.000000 298.257222 North American Vertical Datum of 1988,Geoid2012A 1 feet Explicit elevation coordinate included with horizontal coordinates This LiDAR project was contracted by ISGS. This LiDAR project was contracted by ISGS. This LiDAR project was contracted by ISGS. Illinois State Geological Survey Sheena K Beaverson Program Manager, Illinois Height Modernization mailing address
Prairie Research Institute, Univ of IL Urbana-Champaign
615 East Peabody Drive
Champaign IL 61820 (217) 244-9306 sbeavers@illinois.edu Downloadable Data unknown LAS 1.2 1.00 DVD ISO 9660 unknown 20160415 Surdex Corporation Wade Williams, CP Project Managert mailing and physical address
520 Spirit of St. Louis Blvd
Chesterfield Missouri 63005 636-368-4458 (636) 368-4459 wadew@surdex.com FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2015. The LiDAR derived DTM covers Ford County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of centimeters 5.54 cm RMSEz, horizontal accuracy of 0.6 meters and point spacing of 0.67 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</SPAN></P></DIV></DIV></DIV> Illinois Height Modernization Program, Illinois State Geological Survey, Illinois Department of Transportation and Surdex Corp. IL_Ford_DTM_2015 2016-07-05T00:00:00 2016-07-05T00:00:00 2016-07-05T00:00:00 external ca49c109c6233814e6634505bf23ddb3 Illinois State Geological Survey 615 E Peabody Dr. Champaign IL 61821 info@isgs.edu US 217-333-4747 Monday thru Friday 8 am to 5 pm True Illinois State Geological Survey Recommended Publishing Citation: Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2016, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed August 23, 2016) Light Detection and Ranging LiDAR Bare Earth Point Cloud Digital Elevation Model DEM Elevation Surface Model Digital Surface Model DSM Hillshade <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. The data do not replace the need for detailed site-specific studies.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV> none 2015-04-27T00:00:00 2015-05-07T00:00:00 -88.94396982 -87.51402759 40.39269862 41.12016671 external ca49c109c6233814e6634505bf23ddb3 Illinois State Geological Survey 615 E Peabody Dr. Champaign IL 61821 info@isgs.edu US 217-333-4747 Monday thru Friday 8 am to 5 pm True Illinois State Geological Survey Ford County Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333 1 -88.464671 -87.921210 41.004891 40.394818 150000000 5000 ford_dtm file://X:\counties\ford\ford_dtm Local Area Network 948000.000145 1098000.000145 1357999.999909 1579999.999909 1 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_Illinois_East_FIPS_1201_Ft_US <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k= 20160803 external ca49c109c6233814e6634505bf23ddb3 Illinois State Geological Survey 615 E Peabody Dr. Champaign IL 61821 info@isgs.edu US 217-333-4747 Monday thru Friday 8 am to 5 pm True Illinois State Geological Survey Acquisition was completed in early June 2015 using a twin engine Cessna 335 equipped with a Leica ALS70HP. Flight plan parameters were based on 4757 feet AGL, 40 deg FOV, 375,600 pulse rate, 20% sidelap, 0.67 meter NPS. Crews based out of Pontiac, Schertz, Kankakee and Kentland IL airports. All flights have calibration lines flown at beginning and end of flight perpendicular to lines captured during that mission. Base stations were continuously running during missions and placed so flight baseline never exceeds 25 miles. GPS-IMU captured during flight was processed using Waypoint's Inertial Explorer software. The bare-earth Lidar data was processed to USGS (NGP) Base Lidar Specifications V1.2 using the Terrasolid software suite. LiDAR point was initally processed with macros to locate bare earth ground, buildings and three classes of vegetation but was manually reviewed by experienced technicians in TerraScan or LP360 software for proper point classifciations in LAS tile format. Derivative product formats such as *.DAT, *.DGN, ESRI raster grid and TIN formats were produced using ESRI, Microstation and other software formats. Hydro features were collected on streams and rivers 100~ feet or wider and on lakes 2~ acres or larger. These lines were hydro flattened into the Lidar data and delivered in ESRI geodatabase file format. ISGS Secondary Processing: 1. Thorough QAQC check was completed to ensure and evaluate the quality of the data delivered and that all the specifications have been met in accordance to the contract and national specifications set for LiDAR data. 2. Through ArcGIS 10.1 the following steps were completed to created Terrain and hillshade products: a. LAS to Mulitpoint conversion using 3D analyst tools.ASPRS Classifications were used below: Class 1: unclassified Class 2: ground Class 3: low vegetation Class 4: medium vegetation Class 5: high vegetation Class 6: buildings Class 7: noise Class 8: model keypoints Class 9: water Class 10: proximity to breaklines Class 14: bridges Class 17: overlap unclassified Class 18: overlap ground Class 19: overlap low vegetation Class 20: overlap medium vegetation Class 21: overlap high vegetation Class 22: overlap buildings Class 23: overlap noise Class 24: overlap model keypoints Class 25: overlap water Class 26: overlap proximity to breaklines b. Terrains are then created and pyramids are calculated. c. Terrain to Raster tool was used in 3D Analyst. The parameters of data type float, natural neighbors method, sampling distance is cell size and the point spaceing value from the LiDAR data. d. Hillshades are created from the above rasters with a Z value of 2. 3. These derivatives were checked again visually for errors. If any errors were perceived corrections were coordinated with vendor and products were updated with corrections. 4. When product was finalized then metadata was completed before making data available. 2016-08-03T00:00:00 external ca49c109c6233814e6634505bf23ddb3 Illinois State Geological Survey 615 E Peabody Dr. Champaign IL 61821 info@isgs.edu US 217-333-4747 Monday thru Friday 8 am to 5 pm True Illinois State Geological Survey none Outstanding issues in the dataset but within industry specifications: 1. The contract for Ford County state USGS base 1 specifications are to be used, but the metadata utilizes base 1.2 standards. 2. A small number of the small lakes and ponds, and small streams that do not have breaklines on them are either classified as ground or model keypoints. 3. There is a sporadic issue of points in one of the advanced classifications, i.e. points that represent structures, trees, etc., being misclassified into one of the other classes. 3. There is an issue with the minimum height classified as low vegetation. The reason for this is that many open fields are heavily covered with points that are classified as low vegetation. It was determined that these point are most likely spring crops emerging from the ground due to a late spring collection date. This is a widespread issue throughout the county. 4. There are visible flight lines, but the elevation difference between the two is within industry standards. 5. Random high are visible on the DSM, which should have been categorized as noise points. Raster Dataset dataset EPSG 8.9.3(10.3.1) 2 1 0 948000.000145 1357999.999909 948000.000145 1579999.999909 1098000.000145 1579999.999909 1098000.000145 1357999.999909 1023000.000145 1468999.999909 75000 2.000000 111000 2.000000 ford_dtm 879.783508 595.022339 32